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AAAI
2010
13 years 8 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
EDUTAINMENT
2006
Springer
13 years 11 months ago
Efficiently Maintaining Consistency Using Tree-Based P2P Network System in Distributed Network Games
There are two main approaches, conservative and optimistic, for maintaining consistency in distributed network games. Under the conservative approach, players may experience netwo...
Kyung Seob Moon, Vallipuram Muthukkumarasamy, Anne...
TROB
2008
207views more  TROB 2008»
13 years 7 months ago
Learning Object Affordances: From Sensory-Motor Coordination to Imitation
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
ATAL
2004
Springer
14 years 1 months ago
Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms
We present GAMUT1 , a suite of game generators designed for testing game-theoretic algorithms. We explain why such a generator is necessary, offer a way of visualizing relationshi...
Eugene Nudelman, Jennifer Wortman, Yoav Shoham, Ke...
AIIDE
2008
13 years 10 months ago
Adaptive Spatial Reasoning for Turn-based Strategy Games
The quality of AI opponents often leaves a lot to be desired, which poses many attractive challenges for AI researchers. In this respect, Turn-based Strategy (TBS) games are of pa...
Maurice H. J. Bergsma, Pieter Spronck